Insertion Pool Sequencing (iPool-Seq) for theHigh-Throughput Quantification of Ustilago maydis Mutant Fitness.

Komal Pervaiz, Riaz Tabassum, Armin Djamei

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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Komal PervaizDepartment of Plant Pathology, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Nussallee 9, Bonn, 53115, Germany.

Riaz TabassumDepartment of Plant Pathology, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Nussallee 9, Bonn, 53115, Germany.

Armin DjameiDepartment of Plant Pathology, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Nussallee 9, Bonn, 53115, Germany. djamei@uni-bonn.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insertion pool sequencing (iPool-Seq) is a robust functional genomic technique that combines insertion mutagenesis with next-generation sequencing to comprehensively analyze the genome-wide gene function in maize infecting fungus Ustilago maydis. This high-throughput method tracks the abundance of individual mutants in pooled populations under defined selective conditions. It relies on the construction of saturated mutant libraries, where each mutant carries a unique insertion, followed by tagmentation for efficient DNA fragmentation, tagging with unique molecular identifiers (UMIs), and affinity purification to enrich the pathogen DNA from host tissues. Sequencing of genome insertion junctions then allows determination of mutant representation in Ustilago maydis. Together, this strategy provides a powerful framework to uncover the genes essential for fungal development and virulence within the host.

Indexed as

High-Throughput Nucleotide SequencingMutagenesis, InsertionalMutationUstilagoBasidiomycotaDNA, FungalGene LibraryGenome, FungalPlant DiseasesZea maysDNA, FungalGenome insertion junctioniPool-SeqNext-generation sequencingUnique molecular identifiersUstilago maydis

Identifiers

PMID42681048

DOI10.1101/gr.209601.116

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.